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20022026
most citedNanoscale simulation of shale transport properties using the lattice Boltzmann method: permeability and diffusivity

327 citations

Showing 2025Show all

14 papers · 1 filter

nucl-th2025★ 1 cited

Quantum-inspired Bayesian probability algorithm for nuclear mass predictions

Kaizhong Tan, Jian Liu, Chuan Wang

In this study, a novel quantum-inspired Bayesian probability (QIBP) algorithm, informed by quantum dynamics, is proposed to improve the predictions of nuclear mass from theoretical…

nucl-th2025

Ground-state properties of finite nuclei in relativistic Hartree-Bogoliubov theory with an improved quark mass density-dependent model

Renli Xu, Chen Wu, Jian Liu +6

A relativistic Hartree-Bogoliubov (RHB) model based on quark-meson coupling is developed, with a new parametrization derived from experimental observables. Using this model, we sys…

cs.CL2025★ 2 cited

Text Anomaly Detection with Simplified Isolation Kernel

Yang Cao, Sikun Yang, Yujiu Yang +2

Two-step approaches combining pre-trained large language model embeddings and anomaly detectors demonstrate strong performance in text anomaly detection by leveraging rich semantic…

hep-ph2025

Relativistic Atomic Effects of Dark Matter Electron Scattering

Shao-Feng Ge, Jie Sheng, Chuan-Yang Xing

The dark matter scattering with atomic bound electrons is a crucial avenue for exploring the sub-GeV mass range. The commonly used factorization, where atomic effects are encoded i…

quant-ph2025

Explicit Formulas for Estimating Trace of Reduced Density Matrix Powers via Single-Circuit Measurement Probabilities

Rui-Qi Zhang, Xiao-Qi Liu, Jing Wang +3

In the fields of quantum mechanics and quantum information science, the traces of reduced density matrix powers play a crucial role in the study of quantum systems and have numerou…

cs.CV2025

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement

Hanting Li, Fei Zhou, Xin Sun +3

Recent Transformer-based low-light enhancement methods have made promising progress in recovering global illumination. However, they still struggle with non-uniform lighting scenar…

cs.CV2025★ 7 cited

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model

Shuaiyu Chen, Fu Wang, Peng Ren +2

Semantic segmentation is commonly used for Oil Spill Detection (OSD) in remote sensing images. However, the limited availability of labelled oil spill samples and class imbalance p…

cond-mat.supr-con2025★ 11 cited

Impact of border defects on the magnetic flux penetration in superconducting films

Alejandro V. Silhanek, Lu Jiang, Cun Xue +1

Defects in superconducting systems are ubiquitous and nearly unavoidable. They can vary in nature, geometry, and size, ranging from microscopic-size defects such as dislocations, g…

hep-ph2025

Torsion Balance Experiments Enable Direct Detection of Sub-eV Dark Matter

Shigeki Matsumoto, Jie Sheng, Chuan-Yang Xing +1

Light dark matter with sub-eV masses has a high number density in our galaxy, and its scattering cross section with macroscopic objects can be significantly enhanced by coherence e…

physics.med-ph2025★ 1 cited

Dependence of the Radical Dynamics on the Beam Temporal Profile in FLASH Radiotherapy

Jianhan Sun, Xianghui Kong, Jianfeng Lv +6

Purpose: This study aims to investigate the impact of the beam temporal profile on the radical dynamics and inter-track interactions of FLASH radiotherapy, supporting parameter opt…

cs.CV2025★ 5 cited

Removing Multiple Hybrid Adverse Weather in Video via a Unified Model

Yecong Wan, Mingwen Shao, Yuanshuo Cheng +2

Videos captured under real-world adverse weather conditions typically suffer from uncertain hybrid weather artifacts with heterogeneous degradation distributions. However, existing…

math.NA2025★ 4 cited

An Optimally Convergent parallel splitting Algorithm for the Multiple-Network Poroelasticity Model

Jijing Zhao, Huangxin Chen, Mingchao Cai +1

This paper presents a novel parallel splitting algorithm for solving quasi-static multiple-network poroelasticity (MPET) equations. By introducing a total pressure variable, the MP…

eess.SY2025★ 10 cited

A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control

Yi Yang, Xiao Li, Xuchen Wang +5

This paper proposes a strictly predefined-time convergent and anti-noise fractional-order zeroing neural network (SPTC-AN-FOZNN) model, meticulously designed for addressing time-va…

physics.chem-ph2025★ 8 cited

Reconstructing Pristine Molecular Orbitals from Scanning Tunneling Microscopy Images via Artificial Intelligence Approaches

Yu Zhu, Renjie Xue, Hao Ren +7

Molecular orbital (MO) is one of the most fundamental concepts for molecules, relating to all branches of chemistry, while scanning tunneling microscopy (STM) has been widely recog…